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| 最大エントロピー（MaxEnt）を用いた種分布モデル× | ライフサイクル・サステナビリティ評価× | |
|---|---|---|
| 分野 | 持続可能性 | 持続可能性 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 2004 | 2008 |
| 提唱者≠ | Steven Phillips, Robert Anderson, Robert Schapire | Matthias Finkbeiner |
| 種類≠ | Statistical learning algorithm | Integrated assessment pipeline |
| 原典≠ | Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modelling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. DOI ↗ | Finkbeiner, M., Schau, E. M., Lehmann, A., & Traverso, M. (2010). Towards Life Cycle Sustainability Assessment. Sustainability, 2(10), 3309-3322. DOI ↗ |
| 別名≠ | MaxEnt, SDM, Maximum Entropy Model | LCSA |
| 関連 | 3 | 3 |
| 概要≠ | Species Distribution Models (SDMs) using Maximum Entropy (MaxEnt) are statistical methods developed by Phillips, Anderson, and Schapire (2004) to predict where species are likely to occur based on known occurrence points and environmental variables. MaxEnt has become one of the most widely used algorithms in conservation biology and biogeography for mapping suitable habitat and assessing climate change impacts. | Life Cycle Sustainability Assessment (LCSA) is a comprehensive framework developed by Matthias Finkbeiner and colleagues to evaluate environmental, social, and economic impacts of products and services throughout their entire life cycle. Introduced around 2008, it extends traditional life cycle assessment to address sustainability holistically. |
| ScholarGateデータセット ↗ |
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